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Profile image of Professor Hui Wang

Professor Hui Wang

Research Director - Computer Science and Informatics

Profile image of Professor Hui Wang


Room 16G20 Shore Road Newtownabbey Co. Antrim BT37 0QB



Professor Hui Wang obtained his BSc in Computer Science and MSc in Artificial Intelligence both from Jilin University, and his PhD in Artificial Intelligence from the Ulster University. He is currently Professor of Computer Science. His research interests are learning, reasoning and combinatorial data analytics, and applications in decision support systems and text/video/image/spectral data understanding. He has over 200 publications in these areas. He teaches Artificial Intelligence and Web Technologies recently.

He played a principal role in the development of Lattice Machine, an algebraic framework for machine learning. He proposed the original concept of contextual probability, which can be used for uncertainty reasoning/quantification, probability estimation and machine learning. He also proposed a generic similarity measure, neighbourhood counting, and has worked with co-workers on its specialisations on multivariate data, sequences, tree and graph structures.

He is an associate editor of IEEE Transactions on Cybernetics, and an associate editor of International Journal of Machine Learning and Cybernetics. He is the Chair of IEEE SMCS Northern Ireland Chapter, and a member of IEEE SMCS Board of Governors (2010-2013). He is principal investigator of a number of regional, national and international projects in the areas of image/video analytics (Horizon 2020 funded ASGARD, Horizon 2020 funded DESIREE, FP7 funded SAVASA, Royal Society funded VIAD), text analytics (INI funded DEEPFLOW, Royal Society funded BEACON); and is co-investigator of several other funded projects.

Research Opportunities

Research Opportunities with Professor Hui Wang
Title Closing Date  
Trusting the uncertainty in machine learning predictions Funded PhD Opportunity Friday 7 February 2020 View Details
Autonomous Decision Analytics by Integrating Machine Learning and Symbolic Reasoning Funded PhD Opportunity Friday 7 February 2020 View Details